Personal AI Data Science Tutor Online That Teaches the Method
Describe the dataset and the tutor asks what question it can actually answer, because most data science marks are lost between a technically correct model and a claim the data cannot support.
What is the AskSia AI data science tutor?
The AskSia AI data science tutor is a personal tutoring tool that teaches problem framing and honest interpretation rather than supplying code. It asks what question your data can answer, walks the cleaning, exploration or modelling step with you when you ask, and asks what a stakeholder could wrongly conclude from your result. It covers data cleaning, exploratory analysis, feature engineering, regression and classification, model evaluation, validation strategy, visualisation and communicating findings. It answers in eight languages. Students on the AskSia A+ plan are covered by the Grade Confidence Guarantee. AskSia is a study aid, not an answer key.
如同真人導師的四個階段
解答出現時，解題工具就完成任務；當你能獨自解下一題，輔導才算完成。
給推進方向，而不是直接給解答
它指出卡住的步驟，再把問題交回給你走出下一步。
逐行說明，搭配圖解
需要更多協助時，它會逐行帶你走過解法，而不只告訴你最終結果。
它會反過來問你一題
在繼續之前，它會用一個簡短問題確認下一步是否真正屬於你。
稍後再回來複習
弱項會在更適合主動回憶、鞏固解題方法的時機再次出現。
考試還有三週
導師會刻意放慢節奏，為下一題留下可重複使用的解題方法。
每學期最容易失分的三個習慣
Data science coursework is graded on judgement. These three lose marks even when the code is perfect.
Reporting accuracy on imbalanced data
A model that always predicts the majority class scores well on accuracy and is useless. The tutor asks what the class balance is before any metric is chosen.
Leaking information from the future
Scaling or imputing before splitting lets the test set influence training, which inflates every result. The tutor asks when each transformation happened relative to the split.
Claiming causation from a fitted model
A coefficient describes an association in this dataset, and the report usually needs to say so explicitly. The tutor asks what a reader could wrongly conclude.
不是題庫，而是從你的錯誤建立的測驗
Your marks are not lost evenly, so your practice is not spread evenly. Try this one.
這位導師涵蓋的內容
An applied data science course, weighted toward the judgement calls rather than the library calls.
Building the tooling underneath? Python and SQL carry most of the practical work. Going further into modelling?
Four things a data science tutor does that a chat box does not
它了解你的學習歷程，不只是一個問題
下一次輔導會從你真正感到困難的步驟開始，而不是泛泛地重講整個主題。
它會畫出圖解，不只列出代數式
圖解會帶著標記與解題過程的每一步並列呈現，因為視覺化推理本身也能得到分數。
它會找出你自己解題過程中的第一行錯誤
拍下做錯的嘗試，它會找到解法最早偏離的步驟，接著講清這一步。
它依照你的課程方式檢驗理解
長答題需要依照你自己試卷的格式練習，而不是套用選擇題題庫。
Why the code is the easy part
Fitting a model takes three lines and choosing what to fit, on what data, evaluated how, is the whole assessment. The tutor asks what question the data can answer before any modelling, which is the order your marker reads the report in.
Personal here means it remembers which judgement keeps failing. If your pipelines are clean but every conclusion overstates what the model supports, that is tracked and raised before the next report.
It works in English, German, Japanese, Korean, Spanish, Portuguese, Simplified Chinese and Traditional Chinese.
學生真正會問的問題
Will it write my analysis code?
No. It asks what question your data can answer and walks the reasoning with you. For syntax level help with the implementation, use the Python or SQL pages.
Can it review my notebook?
Yes. Upload it and the tutor works through the order of operations, particularly where transformations happened relative to the train and test split.
Can it help me choose an evaluation metric?
Yes, and it starts from the cost of each error type in your problem rather than from a list of metrics.
Does it cover visualisation?
Yes, framed around what question a chart answers rather than which chart type to use for which variable.
Does it cover bias and fairness?
Yes, at the level most applied courses assess it, including where a dataset encodes a past decision rather than a fact.
Is using an AI data science tutor allowed?
AskSia is built as a study aid, not an answer key. Check your own faculty's policy before using any tool on graded work.
全部 149 位 AskSia 導師
每個學科都採用同一種方式：針對你卡住的步驟給出提示，結合你自己的課程資料講解，最後再向你拋回一個問題。
數學和統計學
15從代數到微積分，也提供面對截止日的作業協助。
科學
11物理、化學與生命科學的導師頁面和作業協助。
計算和數據
22涵蓋主要程式語言，以及課程實際使用的理論、資料與工具。
工程
8從靜力學到流體力學，並提供應用課程作業頁面。
商業和經濟
9會計、金融與經濟，搭配圖表及財務報表。
人文與寫作
13協助檢閱草稿而非代寫的人文與寫作科目。
語言
16提供附規則的修正，以及目標語言的對話練習。
AP課程
20依照內容與評分規準共同設計。
考試和認證
11以實際評分格式練習證照與入學考試。
健康相關課程
7結合每個選項的理據，協助課程與執照準備。
學習支持
9當你需要重整整份行程，或今晚就要面對截止日。
比較學習工具
8比較各工具的強項，以及它們無法處理的範圍。
